Receiving and giving electronic cigarettes as gifts in China: Findings from International Tobacco Control China Survey
Bibliographic record
Abstract
Cigarette gifting is pervasive in China. As the Chinese are increasingly aware of harm from smoking cigarettes, e-cigarettes, often promoted as less harmful alternatives to cigarettes, may be viewed as appropriate gifts. This study is the first using population-based survey data to examine receiving and giving e-cigarettes as gifts in China. We analyzed 9,274 adults from Wave 5 of the International Tobacco Control China Survey, which was completed in July 2015. We found that the prevalence of receiving e-cigarettes as gifts was 1.3% among all respondents and 5.3% among urban smokers; the prevalence of giving e-cigarettes as gifts was 0.5% among all respondents and 1.2% among urban smokers. These prevalence estimates were very low among nonsmokers and rural respondents. Further analysis on urban smokers (N = 3,312) found that those aged 40-54 and 55+, those with high education levels, heavy smokers, and those who perceived e-cigarettes as equally/more harmful than cigarettes were more likely to receive e-cigarette gifts; and those who ever used e-cigarettes were significantly more likely to both receive and give e-cigarette gifts. Urban smokers with positive attitude about cigarette gifting were also more likely to give e-cigarette gifts to others, but those aged 55+ were less likely to gift e-cigarettes. Findings of this study indicate that the Chinese may perceive e-cigarettes as appropriate gifts for smokers, especially heavy smokers. Precautions should be taken to prevent e-cigarettes from becoming a gift choice for nonsmokers. Health campaigns designed to combat the social acceptance of cigarette gifting may also help reduce e-cigarette gifting.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".